內容簡介

“Big data” 是眼下的一個熱門術語，但你知道它到底指的是什么嗎？Neil 認為自己很懂 “big data”，并且可以借 “big data” 幫自己創辦一家公司。菲菲對 “big data” 有自己的想法。加入我們來學習一個非常 “big” 的短語吧！

文字稿

（關于臺詞的備注: 請注意這不是廣播節目的逐字稿件。本文稿可能沒有體現錄制、編輯過程中對節目做出的改變。）

Feifei
Neil, what are you doing? That’s the biggest spreadsheet I’ve ever seen!

Neil
Hi, Feifei. Yeah, just you wait. I’m developing a product that will revolutionise English teaching!

Feifei
Great! So why are you looking at screens of numbers?

Neil
Not numbers, data. Big data! This is what I need, and that's our expression in Authentic Real English.

Feifei
那你打算怎么使用這些數據呢？

Neil
I haven’t figured it out yet. But that’s not important. Everyone’s talking about big data.

Feifei
“Big data” 大數據確實是一個熱門話題。但是大數據是靠分析的，你得知道如何處理這些數據。

Neil
Right.

Feifei
What you’re looking at is a list of… football scores… from every country… in 1987?!

Neil
Ah, yes. Not useful?

Feifei
Sadly not! 咱們來聽聽 “big data” 大數據到底是什么。

Examples
We are surrounded by data. Every time we use social media, buy something online, or even search for information, we are creating data. Because there’s so much of it, and because it comes in many forms, we call it big data.

Companies collect and analyse big data to discover hidden trends and patterns.

For example, online retailers use big data to learn what kinds of things customers like, so they can suggest new products to buy.

Feifei
這里是 BBC英語教學的 “地道英語” 節目。這集節目中介紹的表達是 “big data”。So, Neil. How’s your research going now?

Neil
Umm… not well. It’s hard to know where to start.

Feifei
我覺得你可能需要一些信息，比如用戶在語言學習應用程序上的付費模式，用戶登錄高峰時間，登陸后在線持續的時間，不同語言水平的用戶需求如何變化，第一語言的數據，哪種……

Neil
Stop, stop, stop. I’m trying to write all this down. Feifei?

Feifei
Yes?

Neil
Can I hire you as a big data analyst?

Feifei
Sorry, Neil, you’re too late. I’m launching a product of my own. It helps predict football scores. In fact, I need a bit more data from… 1987!

Neil
Ah! Well, I might just be able to help you out there!

Feifei
Yes, I think you were actually looking at my screen earlier.

Neil
Oh, sorry! You know, I think I’ll leave this big data stuff to the experts.

Both
Bye.